Examining the Relationship between Aptamer Complexity and Molecular Discrimination of a Low-Epitope Target

Aptamers are oligonucleotide-based affinity reagents that are increasingly being used in various applications. Systematic evolution of ligands by exponential enrichment (SELEX) has been widely used to isolate aptamers for small-molecule targets, but it remains challenging to generate aptamers with high affinity and specificity for targets with few functional groups. To address this challenge, we have systematically evaluated strategies for optimizing the isolation of aptamers for (+)-methamphetamine, a target for which previously reported aptamers have weak or no binding affinity. We perform four trials of library-immobilized SELEX against (+)-methamphetamine and demonstrate that N30 libraries do not yield high-quality aptamers. However, by using a more complex N40 library design, stringent counter-SELEX, and fine-tuned selection conditions, we identify aptamers with high affinity for (+)-methamphetamine and better selectivity relative to existing antibodies. Bioinformatic analysis from our selections reveals that high-quality aptamers contain long conserved motifs and are more informationally dense. Finally, we demonstrate that our best aptamer can rapidly detect (+)-methamphetamine at toxicologically relevant concentrations in saliva in a colorimetric dye-displacement assay. The insights provided here demonstrate the challenges in generating high-quality aptamers for low complexity small-molecule targets and will help guide the design of more efficient future selection efforts.

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Publication Details

Journal
ACS Central Science
Published
2024-11-11
DOI
https://doi.org/10.1021/acscentsci.4c01377
Citations
15
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
3.51

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article

Examining the Relationship between Aptamer Complexity and Molecular Discrimination of a Low-Epitope Target

Juan Canoura, Caleb Byrd, Yi Xiao, Obtin Alkhamis et al.
15 citations
ACS Central Science
Advanced biosensing and bioanalysis techniques
3.51
article

Examining the Relationship between Aptamer Complexity and Molecular Discrimination of a Low-Epitope Target

Juan Canoura, Caleb Byrd, Yi Xiao, Obtin Alkhamis, Phuong T. Ly, Linlin Wang, Thinh Nguyen
article en
15 citations

Abstract

Aptamers are oligonucleotide-based affinity reagents that are increasingly being used in various applications. Systematic evolution of ligands by exponential enrichment (SELEX) has been widely used to isolate aptamers for small-molecule targets, but it remains challenging to generate aptamers with high affinity and specificity for targets with few functional groups. To address this challenge, we have systematically evaluated strategies for optimizing the isolation of aptamers for (+)-methamphetamine, a target for which previously reported aptamers have weak or no binding affinity. We perform four trials of library-immobilized SELEX against (+)-methamphetamine and demonstrate that N30 libraries do not yield high-quality aptamers. However, by using a more complex N40 library design, stringent counter-SELEX, and fine-tuned selection conditions, we identify aptamers with high affinity for (+)-methamphetamine and better selectivity relative to existing antibodies. Bioinformatic analysis from our selections reveals that high-quality aptamers contain long conserved motifs and are more informationally dense. Finally, we demonstrate that our best aptamer can rapidly detect (+)-methamphetamine at toxicologically relevant concentrations in saliva in a colorimetric dye-displacement assay. The insights provided here demonstrate the challenges in generating high-quality aptamers for low complexity small-molecule targets and will help guide the design of more efficient future selection efforts.

ACS Central ScienceVol. 10(12)
North Carolina State University (US)
U.S. Department of Justice, National Institutes of Health, Office of Justice Programs, National Institute of Justice
Reduced inequalities
Openalex Percentile: Top 6%
Advanced biosensing and bioanalysis techniques
3.51
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